Universal scaling of the diffusivity of dendrimers in a semidilute solution of linear polymers.


Journal

Soft matter
ISSN: 1744-6848
Titre abrégé: Soft Matter
Pays: England
ID NLM: 101295070

Informations de publication

Date de publication:
10 Jan 2024
Historique:
medline: 10 1 2024
pubmed: 10 1 2024
entrez: 10 1 2024
Statut: aheadofprint

Résumé

The static and dynamic properties of dendrimers in semidilute solutions of linear chains of comparable size are investigated using Brownian dynamics simulations. The radius of gyration and diffusivity of a wide variety of low generation dendrimers and linear chains in solution follow universal scaling laws independent of their topology. Analysis of the shape functions and internal density of dendrimers shows that they are more spherical than linear chains and have a dense core. At intermediate times, dendrimers become subdiffusive, with an exponent higher than that previously reported for nanoparticles in semidilute polymer solutions. The long-time diffusivity of dendrimers does not follow theoretical predictions for nanoparticles. We propose a new scaling law for the long-time diffusion coefficients of dendrimers which accounts for the fact that, unlike nanoparticles, dendrimers shrink with an increase in background solution concentration. Analysis of the properties of a special case of a higher functionality dendrimer shows a transition from polymer-like to nanoparticle-like behaviour.

Identifiants

pubmed: 38197233
doi: 10.1039/d3sm01190a
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Silpa Mariya (S)

IITB-Monash Research Academy, Indian Institute of Technology Bombay, Mumbai, 400076, India.

Jeremy J Barr (JJ)

School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia.

P Sunthar (P)

Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India.

J Ravi Prakash (JR)

Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia. ravi.jagadeeshan@monash.edu.

Classifications MeSH